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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Education and Experience:BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics, or a related field. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Data Scientist - Mid Level Why This is an Exciting Role: As a Data Scientist at Boeing Intelligence & Analytics, you will be responsible for: Involvement in the analyses of unstructured and semi-structured data, employing advanced techniques such as latent semantic indexing (LSI), natural language processing (NLP), and exploratory data analysis (EDA.
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Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), includingoffensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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Facilitate the use of modern data warehouses and self-service analytics tools. Benefits Summary Top Benefits and Perks: Minimum Qualifications: Education:Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience and education.
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Leidos Health Mission Solutions is seeking a Senior Network Architect specializing in Cisco data center design for a large network services opportunity supporting the National Institute of Health (NIH) in the Bethesda, MD area, contingent upon contract award.
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Responsibilities include (but not limited to): Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements.
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Knowledge of hardware for modern control systems, control room/stations and, backend control system (I/O, historian, VM servers, and other control system components). Prepares and issues specifications, data sheets, and other construction documents.
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You will develop processes that build upon classical metallurgy and processing to advance research in modern metallic systems such as shape memory alloys, high entropy alloys, and refractory metal composites.
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Previous experience working or collaborating on Data Analytics or Data Science projects or initiatives. Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc.
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Familiarity with big data / visualization tools such as PowerBI, Tableau and the core concepts of relational data. Interprets data to identify trends, patterns, and insights to recommend business decisions.
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The candidate will apply advanced machine learning methods, utilizing remote sensing data from NASA and other agencies, and commercial platforms, to support the development of integrated water cycle modeling tools in an open science environment.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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This role will examine industry trends, ticketing purchase history, athletic constituent behavior patterns, media engagement, and historic athletic donation data to drive business performance in the following verticals: Revenue associated with the Premium Seating, Ticketing, and Fundraising.
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Successful candidates will have strong data science, management and analysis skills and experience working with U.S. government agencies, such as the DoD. Bachelor’s or Master’s degree in Computer Science, Information Science, Health Science or relevant field and at least 2 years of practical experience in data science/analysis.
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modern data jobs Title: data science in Beltsville, MD
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